49 citations · 61 across the 7 of their papers we have counts for
8 papers
Sharp bounds and extremal structure of minimally strongly -connected digraphs
Junran Yu, Gregory Gutin, Hong-Jian Lai +1
Let be a finite simple minimally strongly -connected digraph, where , and let . Mader proved in 1985 that for all sufficiently large $n…
DECO: Depth-Guided Co-Visibility Reasoning for Low-Altitude UAV Visual Localization
Yibin Ye, Xichao Teng, Shuo Chen +4
Unmanned aerial vehicles (UAVs) increasingly require robust visual localization in GNSS-denied environments. A common solution estimates UAV poses by matching keypoints between UAV…
CRFT: Consistent-Recurrent Feature Flow Transformer for Cross-Modal Image Registration
Xuecong Liu, Mengzhu Ding, Zixuan Sun +2
We present Consistent-Recurrent Feature Flow Transformer (CRFT), a unified coarse-to-fine framework based on feature flow learning for robust cross-modal image registration. CRFT l…
Scale-Aware UAV-to-Satellite Cross-View Geo-Localization: A Semantic Geometric Approach
Yibin Ye, Shuo Chen, Kun Wang +5
Cross-View Geo-Localization (CVGL) between UAV imagery and satellite images plays a crucial role in target localization and UAV self-positioning. However, most existing methods rel…
Exploring the best way for UAV visual localization under Low-altitude Multi-view Observation Condition: a Benchmark
Yibin Ye, Xichao Teng, Shuo Chen +4
Absolute Visual Localization (AVL) enables an Unmanned Aerial Vehicle (UAV) to determine its position in GNSS-denied environments by establishing geometric relationships between UA…
3MOS: Multi-sources, Multi-resolutions, and Multi-scenes dataset for Optical-SAR image matching
Yibin Ye, Xichao Teng, Shuo Chen +3
Optical-SAR image matching is a fundamental task for image fusion and visual navigation. However, all large-scale open SAR dataset for methods development are collected from single…
Oriented object detection in optical remote sensing images using deep learning: a survey
Kun Wang, Zi Wang, Zhang Li +5
Oriented object detection is a fundamental yet challenging task in remote sensing (RS), aiming to locate and classify objects with arbitrary orientations. Recent advancements in de…
Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019
Zhang Li, Jiehua Zhang, Tao Tan +30
Accurate segmentation of lung cancer in pathology slides is a critical step in improving patient care. We proposed the ACDC@LungHP (Automatic Cancer Detection and Classification in…